Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology
Reference22 articles.
1. Saeys, Y., Van Gassen, S. & Lambrecht, B.N. Computational flow cytometry: helping to make sense of high-dimensional immunology data. Nat. Rev. Immunol. 16, 449–462 (2016).
2. Tenenbaum, J.B., De Silva, V. & Langford, J.C. A global geometric framework for nonlinear dimensionality reduction. Science 290, 2319–2323 (2000).
3. Coifman, R.R. et al. Geometric diffusions as a tool for harmonic analysis and structure definition of data: diffusion maps. Proc. Natl. Acad. Sci. USA 102, 7426–7431 (2005).
4. Van Der Maaten, L. & Hinton, G. Visualizing high-dimensional data using t-SNE. journal of machine learning research. J. Mach. Learn. Res. 9, 26 (2008).
5. Amir, A.D. et al. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia. Nat. Biotechnol. 31, 545–552 (2013).
Cited by
3648 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献